B02

This project aims to develop an open-source software framework for efficient and scalable numerical simulations in Lattice Field Theory (LFT). It will address increasing complexity in LFT problems and adapt to evolving heterogeneous hardware platforms. New algorithmic techniques, including Machine Learning (ML) methods, will be integrated with scalable algorithms to explore inaccessible regions of the parameter landscape. The expanded scope of addressable physical problems and the insights gained in the efficient use of heterogeneous and modular supercomputing platforms have the potential to be translated to multiple projects of this CRC.